Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 19 Oct 2010 12:32:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/19/t1287491501z61ygkxchnof7zr.htm/, Retrieved Sun, 28 Apr 2024 21:07:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86288, Retrieved Sun, 28 Apr 2024 21:07:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Cronbach Alpha] [Intrinsic Motivat...] [2010-10-12 11:40:37] [b98453cac15ba1066b407e146608df68]
F RMPD    [Notched Boxplots] [Mannen] [2010-10-19 12:32:08] [55fca7c82a53ae69fe96aa1750b06058] [Current]
F    D      [Notched Boxplots] [Vrouwen] [2010-10-19 12:36:36] [b84bdc9bd81e1f02ca0dcc4710c1b790]
Feedback Forum
2010-10-21 07:15:22 [Pascal Wijnen] [reply
De student komt hier tot de juiste boxplots. De interpretatie is echter niet zo correct, daar we toch verschillen kunnen vinden. Zo zijn de vrouwen meestal meer gemotiveerd en zijn de mannen meer gedemotiveerd.
2010-10-21 07:25:19 [Pascal Wijnen] [reply
De student komt hier tot de juiste boxplots. De interpretatie is echter niet zo correct, daar we toch verschillen kunnen vinden. Zo zijn de vrouwen meestal meer gemotiveerd en zijn de mannen meer gedemotiveerd.

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Dataseries X:
26	21	21	23	17	23	4
20	16	15	24	17	20	4
19	19	18	22	18	20	6
20	16	8	24	20	24	8
25	23	19	27	28	22	4
22	12	20	27	22	20	8
26	19	16	24	16	25	5
22	16	14	23	18	23	4
19	13	14	27	14	22	4
24	20	8	28	11	24	4
26	27	23	27	27	25	4
13	8	9	24	22	28	4
22	13	15	25	23	25	8
21	15	19	24	24	28	7
7	5	6	20	14	21	4
17	14	11	26	23	27	5
25	24	17	23	24	14	4
25	24	17	23	24	14	4
19	9	5	20	8	27	4
23	19	15	24	23	21	4
22	19	17	23	21	21	4
21	18	20	18	24	12	15
18	12	7	23	25	28	4
22	25	15	26	23	22	4
18	19	15	26	21	27	7
23	20	10	23	21	26	4
20	24	14	22	26	22	6
15	12	9	20	18	24	16
21	17	18	25	17	22	6
18	16	17	22	15	21	9
19	11	14	23	13	23	4
22	20	16	25	26	28	5
16	11	10	23	16	10	4
18	20	10	22	21	21	5
20	19	14	24	20	21	4
24	17	10	25	14	24	4
24	18	9	17	20	25	4
18	17	12	20	22	23	6
21	27	16	23	20	21	4
17	19	18	20	18	17	18
22	19	18	24	24	25	4
16	11	9	24	20	23	5
21	22	19	28	19	28	4
24	20	23	25	23	19	10
24	24	22	25	26	26	5
16	16	14	18	22	18	8
16	16	14	17	20	18	8
18	11	12	22	13	21	5
20	20	12	25	22	22	4
24	20	16	26	22	27	5
17	12	11	19	20	22	14
19	8	14	25	6	28	8
20	21	13	21	21	26	8
15	18	9	13	20	10	4
22	16	13	25	23	22	6
23	18	19	26	20	21	4
16	20	13	25	24	24	7
19	20	13	25	22	25	7
19	17	14	21	18	20	6
21	15	11	24	23	23	4
24	17	18	21	21	24	8
22	23	19	25	24	24	4
18	19	15	20	21	20	10
24	17	19	23	20	20	6
24	12	15	28	11	27	4
22	24	17	23	22	23	4
23	18	8	28	27	26	4
22	20	10	24	25	23	5
20	16	12	18	18	17	4
18	20	12	20	20	21	6
25	22	20	28	24	25	4
16	16	12	21	27	27	7
20	17	14	25	21	24	8
15	12	10	18	18	27	8
19	14	18	21	15	21	10
19	23	18	22	24	24	8
16	15	7	24	22	21	5
17	17	18	15	14	15	12
28	28	9	28	28	25	4
25	23	22	23	26	22	4
20	13	11	26	17	24	6
16	19	15	20	18	23	7
23	13	14	22	11	23	8
21	22	14	26	26	22	11
23	20	20	23	23	22	8
18	10	8	21	15	24	6
20	17	17	26	22	24	7
9	18	9	23	26	25	5
25	23	22	27	20	26	8
20	17	10	19	18	21	4
21	19	12	22	19	26	5
22	18	12	25	23	28	6
27	22	20	25	24	18	4
18	16	18	25	23	20	6
16	16	16	19	27	25	16
22	16	13	25	23	22	6
20	16	17	22	18	21	6
20	18	17	20	16	18	4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86288&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86288&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Intr.11318202328
Intr.21016182025
Intr.3511141823
Extr.11521232528
Extr.21118212328
Extr.31521232528
Amotiv.445814

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Intr.1 & 13 & 18 & 20 & 23 & 28 \tabularnewline
Intr.2 & 10 & 16 & 18 & 20 & 25 \tabularnewline
Intr.3 & 5 & 11 & 14 & 18 & 23 \tabularnewline
Extr.1 & 15 & 21 & 23 & 25 & 28 \tabularnewline
Extr.2 & 11 & 18 & 21 & 23 & 28 \tabularnewline
Extr.3 & 15 & 21 & 23 & 25 & 28 \tabularnewline
Amotiv. & 4 & 4 & 5 & 8 & 14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86288&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]Intr.1[/C][C]13[/C][C]18[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]Intr.2[/C][C]10[/C][C]16[/C][C]18[/C][C]20[/C][C]25[/C][/ROW]
[ROW][C]Intr.3[/C][C]5[/C][C]11[/C][C]14[/C][C]18[/C][C]23[/C][/ROW]
[ROW][C]Extr.1[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]Extr.2[/C][C]11[/C][C]18[/C][C]21[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]Extr.3[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]Amotiv.[/C][C]4[/C][C]4[/C][C]5[/C][C]8[/C][C]14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86288&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Intr.11318202328
Intr.21016182025
Intr.3511141823
Extr.11521232528
Extr.21118212328
Extr.31521232528
Amotiv.445814







Boxplot Notches
Variablelower boundmedianupper bound
Intr.119.20197948980382020.7980205101962
Intr.217.3615835918431818.638416408157
Intr.312.88277128572531415.1172287142747
Extr.122.3615835918432323.638416408157
Extr.220.20197948980382121.7980205101962
Extr.322.3615835918432323.638416408157
Amotiv.4.36158359184355.638416408157

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Intr.1 & 19.2019794898038 & 20 & 20.7980205101962 \tabularnewline
Intr.2 & 17.361583591843 & 18 & 18.638416408157 \tabularnewline
Intr.3 & 12.8827712857253 & 14 & 15.1172287142747 \tabularnewline
Extr.1 & 22.361583591843 & 23 & 23.638416408157 \tabularnewline
Extr.2 & 20.2019794898038 & 21 & 21.7980205101962 \tabularnewline
Extr.3 & 22.361583591843 & 23 & 23.638416408157 \tabularnewline
Amotiv. & 4.361583591843 & 5 & 5.638416408157 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86288&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]Intr.1[/C][C]19.2019794898038[/C][C]20[/C][C]20.7980205101962[/C][/ROW]
[ROW][C]Intr.2[/C][C]17.361583591843[/C][C]18[/C][C]18.638416408157[/C][/ROW]
[ROW][C]Intr.3[/C][C]12.8827712857253[/C][C]14[/C][C]15.1172287142747[/C][/ROW]
[ROW][C]Extr.1[/C][C]22.361583591843[/C][C]23[/C][C]23.638416408157[/C][/ROW]
[ROW][C]Extr.2[/C][C]20.2019794898038[/C][C]21[/C][C]21.7980205101962[/C][/ROW]
[ROW][C]Extr.3[/C][C]22.361583591843[/C][C]23[/C][C]23.638416408157[/C][/ROW]
[ROW][C]Amotiv.[/C][C]4.361583591843[/C][C]5[/C][C]5.638416408157[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86288&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86288&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
Intr.119.20197948980382020.7980205101962
Intr.217.3615835918431818.638416408157
Intr.312.88277128572531415.1172287142747
Extr.122.3615835918432323.638416408157
Extr.220.20197948980382121.7980205101962
Extr.322.3615835918432323.638416408157
Amotiv.4.36158359184355.638416408157



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')